Live online seminar · Legacy Analysis & Modernisation

Analyse and modernise legacy systems with AI

In plain language Understand established software and knowledge faster with AI

Understand established systems faster and change them safely.

You systematically explore code, documents, data models and interfaces and build a reliable picture for safe change.

Technical terms you will learnLegacy-Analyse, Reverse Engineering, Modernisierung, Wissenserschließung, Zielarchitektur
Duration2 days FormatLive online seminar Price1,790.00 €2,130.10 € incl. 19% VAT
Analyse and modernise legacy systems with AI

Reliably planned

What is included with this seminar

Current market-standard content is included as a matter of course. CTPM+ makes the transfer to your IT, data and process practice visible.

Who is it for?Architects, developers, application managers, requirements engineers, database teams, technical project managers and modernisation leaders.
What will you be able to do?Structure an AI-supported current-state analysis. Unlock code, documents and data models. Identify risk and missing knowledge. Design an incremental modernisation path.
Next dateNov 10, 2026, 10:00 – Nov 11, 2026, 17:00
IncludedTwo-day workshop, analysis guide, prompt patterns, risk matrix, target model and transfer plan.
Personal senior expertisePersonally delivered by experienced instructors with enterprise IT and project practice.
Small groups, direct questionsThe suitable group size is agreed according to format and learning objective.
Materials and working aidsTwo-day workshop, analysis guide, prompt patterns, risk matrix, target model and transfer plan.
Certificate of participationAfter full participation, you receive a personalised CTPM Academy certificate of participation.
Response within one business dayWe confirm receipt immediately and respond on timing, format and next steps within one business day.
CTPM+ transfer valueRole-based practice, reusable templates, adaptation to systems, data and processes and a concrete transfer result; with sector experts and follow-up coaching where needed.
Your learning pathEvery seminar works as a standalone offer. The highlighted stage shows its position; advanced learning can follow as needed.
  1. 01EntryBuild sound foundations
  2. 02ApplicationApply methods in practice
  3. 03SpecialisationDeepen roles and systems
  4. 04Transfer & coachingImplement a concrete result

Delivery

Choose the right format

Compare delivery, duration, price and configuration. In-person and in-house formats are aligned with your group, location and assignment.

Open in-person seminar

In-person seminar · tailored

Request & confirmation

Content, examples, duration and transfer are tailored to the audience and assignment.

Duration
By arrangement
Level
Professional
Location
Academy venue
Individual proposal on request based on scope and group size

Duration, scope and price are proposed after professional scoping.

Ask about availability
In-house training

In-house training · client-specific

Request & confirmation

Content, examples, systems and priorities are prepared with the client.

Duration
By arrangement
Level
Professional
Location
At the client site
Individual proposal on request based on scope and group size

Duration, scope and price are proposed after professional scoping.

Ask about availability

Learning content

What you will work on in this seminar

The modules make scope, priorities and intentional boundaries transparent.

Planned learning scope: 2 days. The offered format covers 2 days, including breaks, questions and transfer phases.

Everything considered market standard today is naturally included.CTPM+ describes what makes our seminar additionally valuable.
Distinguish market standard and CTPM+Show or hide each value class separately.
From understanding to your own result Select a learning module to see its content and practical value explained clearly.
Market standard CTPM+
UnderstandTerms and relationships
ApplyPractise methods
TransferRelate to role and workflow
ResultTake away a concrete result
Capabilities, limits & common failure modes

Learn which tasks generative AI can support reliably and where probabilistic output, hallucinations, bias, context limits or outdated knowledge create risk. Common failure modes are recognised, assessed and connected to appropriate checks.

Suggested seminar agendaBuilt from this delivery’s learning modules
  1. Capabilities, limits & common failure modes70 minutes
  2. Systematic prompting80 minutes
  3. Review & optimise results90 minutes
  4. Workflows & process chains90 minutes
  5. Databases, interfaces, ETL & enterprise software120 minutes
  6. Enterprise IT & project cases110 minutes
  7. Concrete transfer result100 minutes
  8. Adaptation to audience, knowledge & assignment
  9. Legacy analysis & knowledge retention180 minutes

The sequence may be adapted to the group, prior knowledge and questions; the stated learning outcomes remain binding.

Compare 31 additional modulesThese topics are intentionally not included in this seminar and are shown only for comparison.
Market standardNot included

Current models, tools & applications

Content and learning objective

Distinguish language models, AI services, copilots and specialised tools by task, data access and degree of integration. Criteria such as output quality, data protection, cost, currency and integration into existing workplaces make selection transparent.

Market standardNot included

Improve & reuse prompts

Content and learning objective

Improve prompts in controlled steps, compare variants and distinguish professional weaknesses from wording or context problems. Proven patterns are versioned, documented and made reusable for similar tasks.

Market standardNot included

Text, documents, research & knowledge work

Content and learning objective

Work on common tasks such as drafting, summarising, comparing, extracting, classifying and preliminary research. Clarify required inputs, result validation and where AI usefully supports the existing workflow.

Market standardNot included

Confidential information & organisational data

Content and learning objective

Classify personal, confidential and business-critical information and decide what data an AI service may process. Anonymisation, permissions, provider settings, internal rules and safer alternatives are assessed through practical situations.

Market standardNot included

Practical examples & exercises

Content and learning objective

Apply the methods to transparent tasks, compare alternative approaches and reflect on the impact of your decisions. Exercises combine explanation, hands-on work, feedback and a transferable improvement.

Market standardNot included

Course materials & job aids

Content and learning objective

Receive and use checklists, structures, examples and concise references that remain useful after the seminar. Materials are not merely distributed; they are explained and related to common application situations.

CTPM+Not included

Use documents & knowledge systematically

Content and learning objective

Discover existing text, documents and knowledge through source structure, metadata, terminology and suitable search or retrieval approaches. Quality, currency, permissions and the limits of a RAG or knowledge solution are made explicit.

CTPM+Not included

Quality & control points

Content and learning objective

Define measurable expectations, validation rules and approval points for inputs, processing and outputs. Sampling, logging, escalation and human accountability create controlled use instead of blind trust.

CTPM+Not included

Reusable prompt, analysis & workflow templates

Content and learning objective

Develop prompt structures, analysis templates and workflow patterns that can be reused with clear inputs, checks and ownership. Versioning and adaptation prevent templates from becoming uncontrolled one-off solutions.

CTPM+Not included

Collaboration with sector experts

Content and learning objective

For regulated, safety-critical or highly specialised content, the roles and responsibilities of a dual-instructor team are defined. CTPM covers AI, IT, data, architecture and methodology; the sector expert adds processes, terminology and binding requirements.

Market standardNot included

Requirements engineering & business analysis

Content and learning objective

Structure stakeholders, objectives, system boundaries and requirements using suitable elicitation, modelling and documentation techniques. Quality criteria, acceptance conditions, reviews and traceability connect business and delivery.

Market standardNot included

Software architecture & modernisation

Content and learning objective

Derive architecture goals from business and quality requirements and structure components, interfaces and responsibilities. Architecture decisions, risks, modernisation steps and transparent documentation are assessed together.

Market standardNot included

Data modelling, SQL & databases

Content and learning objective

Transform business concepts and rules into conceptual, logical and relational data models. Keys, relationships, normalisation, integrity, SQL queries and performance are treated as connected design decisions.

Market standardNot included

ETL, interfaces & data integration

Content and learning objective

Design the path from source to target systems with mappings, transformations, loading approaches and quality rules. Delta logic, error handling, restart, monitoring, metadata and lineage are considered from the start.

Market standardNot included

Understand relational databases

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Select, filter and sort data

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Aggregate and group data

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Join tables safely

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Classify data changes safely

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Distinguish standard SQL, Oracle, MySQL and MariaDB

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

CTPM+Not included

Translate business questions into SQL

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

CTPM+Not included

Validate results technically and functionally

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Oracle SQL & PL/SQL

Content and learning objective

Work with Oracle-specific SQL and PL/SQL from data access and transactions to procedures, functions and packages. Exception handling, performance, testing, interfaces and maintainability are connected through realistic database tasks.

Market standardNot included

Clarify role, assignment and mandate

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Understand stakeholders and interests

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Communicate clearly at eye level

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Prepare and represent decisions

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Address resistance and conflict early

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standardNot included

Create commitment without hierarchy

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

CTPM+Not included

Use briefing and debriefing effectively

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

CTPM+Not included

Lead under uncertainty and secure transfer

Content and learning objective

Practical module with explanation, exercise, reflection and a reusable transfer result.

Market standard

The complete professional standard

Fundamentals, current tools, prompting, exercises, output review, privacy, security and responsible use are taught clearly and practically.

CTPM+

More transfer through senior practice

CTPM+ connects learning to roles, documents, knowledge, processes, data, interfaces, architecture and a realistic next implementation step.

An academy that enables learning

We do not merely repeat terminology. We make it usable.

More than 25 years of adult education and thousands of participants in IT and Oracle topics shape our approach: explain clearly, practise together, review critically and transfer safely.

01
Understand

We connect new terminology immediately with plain language and a familiar problem.

02
Practise

You apply the method yourself using a clear example and can ask questions at any time.

03
Review

We compare results, identify errors and develop understandable quality criteria.

04
Transfer

You leave with a template, decision aid or a concrete next step for your work.

Two learning samples from this seminar

Technical terms become clear step by step

Open an example to see how we connect terminology with meaning, application and review.

Legacy analysisHow established systems become understandable

Code, data model, interfaces, runtime behaviour and documentation are analysed together to build reliable understanding before change.

RAGHow AI accesses approved enterprise knowledge

Retrieval-augmented generation first searches selected documents or data sources and then lets the language model formulate an answer grounded in those sources.

For seminars with practical transfer

Example transfer result

A practical, reviewed result for applying the seminar content to your own work: Gewachsene Software und vorhandenes Wissen mit KI schneller verstehen.

The actual result is adapted to the participants’ task, role and permitted data during the seminar.

What you will gain

Structure an AI-supported current-state analysis.
Unlock code, documents and data models.
Identify risk and missing knowledge.
Design an incremental modernisation path.

What this live online seminar covers

Legacy modernisation requires more than code generation. The seminar connects AI assistance with current-state analysis, requirements, data and architecture work, testing and knowledge retention. CTPM+ contributes deep experience in established IT landscapes and the levers required for realistic transformation.

Participants

Architects, developers, application managers, requirements engineers, database teams, technical project managers and modernisation leaders.

Included

Two-day workshop, analysis guide, prompt patterns, risk matrix, target model and transfer plan.

Prerequisites

Experience with software, architecture, databases or legacy systems.

Not included

No full system analysis, migration or modernisation implementation within the seminar price.